Question
A data analyst must combine service calls into low-, medium-, and high-priority levels in order to analyze organizational responses. Which of the following techniques should the analyst use for this task?
- A. Augmentation
- B. Imputation
- C. Scaling
- D. Binning Correct
Explanation
Binning groups continuous or many-valued data into a small number of categories, such as sorting service calls into low, medium and high priority. Imputation fills in missing values, scaling rescales numeric values to a common range, and augmentation adds new or derived data to a dataset. None of those creates categories from existing values.
